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artificial intelligence methods and mechanistic mathematical models to address fundamental questions in biology . Examples of research topics include but are not limited to: development of new AI
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Group Leader and Professor AI in Biology - Dept of Computer Science and Dept. Electrical Engineering
KU Leuven, Dept of Computer Science and Dept. Electrical Engineering). We are particularly interested in recruiting faculty members who use and develop artificial intelligence methods and mechanistic
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Group Leader and Professor AI in Biology - Dept of Computer Science and Dept. Electrical Engineering
methods and mechanistic mathematical models to address fundamental questions in biology . Examples of research topics include but are not limited to: development of new AI architectures for biology
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Group Leader and Professor AI in Biology - Dept of Computer Science and Dept. Electrical Engineering
methods and mechanistic mathematical models to address fundamental questions in biology . Examples of research topics include but are not limited to: development of new AI architectures for biology
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Biology, Cell Biology, Biotechnology, Biomedical Sciences, Bioengineering, or related fields. (Willing to obtain) a FELASA C license for animal work. Enthusiasm for fundamental science and attention
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Learning Expertise Unit Positions 1 Application deadline : August 31, 2026 About us VIB is a leading life sciences research institute in Flanders, Belgium, with a strong focus on translating basic scientific
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to your shortlist Send job Job Details Company Job Details Application deadline : August 31, 2026 About us VIB is a leading life sciences research institute in Flanders, Belgium, with a strong focus on
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behavior, computational methods, etc.) is a plus. Candidates from non-neuroscience fields but with a keen interest in understanding the brain (e.g., physics, artificial intelligence, engineering
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biology, cellular physiology, neuroscience, animal behavior, computational methods, etc.) is a plus. Candidates from non-neuroscience fields but with a keen interest in understanding the brain (e.g
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behavior, computational methods, etc.) is a plus. Candidates from non-neuroscience fields but with a keen interest in understanding the brain (e.g., physics, artificial intelligence, engineering